{"id":"W2996187048","doi":"","title":"Acid Deposition Simulations for Alberta, Saskatchewan, and the Canadian Oil Sands, using the Global Environmental Multiscale - Modelling Air-quality and CHemistry (GEM-MACH) System","year":2017,"lang":"en","type":"article","venue":"EGUGA","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Oil sands; Deposition (geology); Acid deposition; Environmental science; Air quality index; Quality (philosophy); Earth science; Petroleum engineering; Meteorology; Geology; Environmental protection; Archaeology; Geography; Soil science; Geomorphology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002041332,0.0001631392,0.0001437251,0.000001244238,0.002266743,0.0001171312,0.0002135602,0.0000978612,0.0000400769],"category_scores_gemma":[0.00001012664,0.0001141754,0.00005206915,0.00001761016,0.0008779208,0.0001819239,0.0001798514,0.00009446761,0.000004058555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006322981,"about_ca_system_score_gemma":0.00001300108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2238293,"about_ca_topic_score_gemma":0.127029,"domain_scores_codex":[0.9990442,0.00004089031,0.0001865586,0.0002919714,0.0001710404,0.0002653822],"domain_scores_gemma":[0.9992809,0.00006020505,0.0001377809,0.0003679972,0.000001346208,0.0001518185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008263569,0.00003677021,0.2780851,0.00004507143,0.00005125882,0.000002678488,0.001491711,0.7127094,0.001840444,0.0001201886,0.00001481001,0.00551995],"study_design_scores_gemma":[0.001091218,0.000008207784,0.04447067,0.00001810109,0.00008459184,0.00003431827,0.001720659,0.9515924,0.0002099731,0.0001848073,0.0003603897,0.0002246528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796515,0.000112073,0.01813903,0.000476901,0.00005446748,0.0002310756,0.00007781695,0.000009517275,0.001247597],"genre_scores_gemma":[0.9944283,0.00001341203,0.004855915,0.0001459932,0.0000441947,0.00001760947,0.00001773613,0.00001387041,0.000462974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.238883,"threshold_uncertainty_score":0.9990322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322522096895801,"score_gpt":0.2333051543299469,"score_spread":0.2200799333609889,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}